Speech recognition with syllables and concepts

The transformation of speech to words is not necessary to emulate human linguistic performance in some contexts. A large vocabulary continuous speech recognition (LVCSR) system can perform more accurately with a syllable-based, as opposed to a word-based, language model. This accuracy can be further enhanced by the addition of a concept model, where a concept is an equivalence class of words and phrases.